Delayless soft-decision decoding of high-quality audio transmitted over awgn channels

Short-range wireless audio transmission with high quality on the one hand often encounters error-prone channels, while on the other hand decoding delay plays a critical role in the application. A lot of prior art in audio error concealment is either only intuitively motivated or adds too much delay...

Full description

Saved in:
Bibliographic Details
Main Authors: Pflug, Florian, Fingscheidt, Tim
Format: Conference Proceeding
Language:English
Subjects:
autocorrelation
Correlation
Decoding
Delay
delayless soft-decision audio decoding
High definition video
Levinson-Durbin algorithm
linear prediction
normalized least-mean-square algorithm
Prediction algorithms
Signal to noise ratio
Speech
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Short-range wireless audio transmission with high quality on the one hand often encounters error-prone channels, while on the other hand decoding delay plays a critical role in the application. A lot of prior art in audio error concealment is either only intuitively motivated or adds too much delay to the transmission. In this paper we pro pose a framework for transmitted audio error concealment without any algorithmic delay. As a novelty, it strongly follows a Bayesian approach for quantized but uncompressed audio, which can in principle be applied to any type of wireless channel yielding some kind of reliability information. Two methods to compute audio prediction coefficients are presented, one based on the autocorrelation method, the other one on the normalized least-mean-square (NLMS) algorithm. Simulation results for additive white Gaussian noise (AWGN) channels show the significant effect of the proposed approaches.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5946447